Senior Devops Engineer Jobs in Vermont (NOW HIRING)

• Work with cutting-edge cloud technologies while partnering closely with Product Lines, Manufacturing Fabs, Customer Sales, EDA vendors, cloud providers, and IT teams to modernize tapeout workflows.
• Drive measurable business impact through the development of innovative tools, dashboards, and analytics solutions that improve quality, efficiency, and visibility across tapeout operations.
• Build expertise in semiconductor manufacturing processes while gaining end-to-end exposure to the customer tapeout lifecycle through cross-functional collaboration and agile project execution.
• Explore emerging technologies, including AI/ML applications and cloud-native services, to enhance operational performance and decision-making.

• Enable and support scalable Electronic Design Automation (EDA) functions within cloud-based environments.
• Develop and enhance applications and automation solutions that improve tapeout workflow efficiency and user experience.
• Create dashboards, visualizations, and reporting tools that transform EDA tool outputs into actionable business insights.
• Analyze Tapeout Operations key performance indicators (KPIs) to identify optimization opportunities and improve overall performance.
• Support customer tapeouts, mask manufacturing operations, and wafer start enablement activities.
• Collaborate with cross-functional teams to drive continuous improvement initiatives, process standardization, and operational excellence.
• Research and evaluate new technologies, including AI/ML and AWS services, to support future business transformation efforts.

• Perform all activities in a safe and responsible manner while supporting Environmental, Health, Safety, and Security (EHS&S) requirements and programs.

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Analytics, or a related technical discipline from an accredited institution, graduating in 2027.
• Minimum cumulative GPA of 3.5 with demonstrated academic achievement.
• Experience developing automation, analytics, or process improvement solutions using technologies such as Python, Angular, Amazon QuickSight, and Microsoft Power Platform.
• Knowledge of relational and non-relational database technologies and data processing concepts.
• Understanding of cloud-based application development and the use of platform services to build scalable business solutions.
• Familiarity with software development lifecycle methodologies and project management tools such as Azure DevOps (ADO), Jira, Git, Jenkins, and Bamboo.
• Strong written and verbal communication skills in English.

• Previous internship, co-op, research, or relevant industry experience.
• Demonstrated leadership experience through academic projects, student organizations, competitions, volunteer activities, or workplace initiatives.
• Strong analytical, problem-solving, and project management skills with the ability to navigate ambiguity and drive results.
• Excellent organizational, communication, and collaboration skills.
• Self-motivated with a continuous improvement mindset focused on enhancing systems, processes, and documentation.
• Exposure to semiconductor manufacturing, foundry operations, EDA workflows, or related technologies is a plus.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law